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Cluster analysis on high dimensional RNA-seq data with applications to cancer research - An evaluation study
BACKGROUND: Clustering of gene expression data is widely used to identify novel subtypes of cancer. Plenty of clustering approaches have been proposed, but there is a lack of knowledge regarding their relative merits and how data characteristics influence the performance. We evaluate how cluster ana...
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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894875/ https://ncbi.nlm.nih.gov/pubmed/31805048 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0219102 |
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